ArticleInternational journal of nanomedicine2020
An AFM-Based Nanomechanical Study of Ovarian Tissues with Pathological Conditions.
Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Cisplatin resistance alters ovarian cancer spheroid formation and impacts peritoneal invasion.Frontiers in cell and developmental biology · 2025Article
- Preparation and Microscopic Mechanical Characterization of L-Methionine-Based Polyphosphazene Fibrous Mats for Vascular Tissue Engineering.Pharmaceutics · 2023Article
- Common mechanisms of physiological and pathological rupture events in biology: novel insights into mammalian ovulation and beyond.Biological reviews of the Cambridge Philosophical Society · 2023Review
- Injectable three-dimensional tumor microenvironments to study mechanobiology in ovarian cancer.Acta biomaterialia · 2022Article
- Stain-free identification of tissue pathology using a generative adversarial network to infer nanomechanical signatures.Nanoscale advances · 2021Article
- Personalized models of heterogeneous 3D epithelial tumor microenvironments: Ovarian cancer as a model.Acta biomaterialia · 2021Review
- Scanning Probe Microscopies: Imaging and Biomechanics in Reproductive Medicine Research.International journal of molecular sciences · 2021Review
- Ovarian Biomechanics: From Health to Disease.Frontiers in oncology · 2021Review
- Nanomechanics and Histopathology as Diagnostic Tools to Characterize Freshly Removed Human Brain Tumors.International journal of nanomedicine · 2020Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDifferent diseases affect both mechanical and chemical features of the involved tissue, enhancing the symptoms.
methodsIn this study, using atomic force microscopy, we mechanically characterized human ovarian tissues with four distinct pathological conditions: mucinous, serous, and mature teratoma tumors, and non-tumorous endometriosis. Mechanical elasticity profiles were quantified and the resultant data were categorized using K-means clustering method, as well as fuzzy C-means, to evaluate elastic moduli of cellular and non-cellular parts of diseased tissues and compare them among four disease conditions. Samples were stained by hematoxylin-eosin staining to further study the content of different locations of tissues.
resultsPathological state vastly influenced the mechanical properties of the ovarian tissues. Significant alterations among elastic moduli of both cellular and non-cellular parts were observed. Mature teratoma tumors commonly composed of multiple cell types and heterogeneous ECM structure showed the widest range of elasticity profile and the stiffest average elastic modulus of 14 kPa. Samples of serous tumors were the softest tissues with elastic modulus of only 400 Pa for the cellular part and 5 kPa for the ECM. Tissues of other two diseases were closer in mechanical properties as mucinous tumors were insignificantly stiffer than endometriosis in cellular part, 1300 Pa compared to 1000 Pa, with the ECM average elastic modulus of 8 kPa for both.
conclusionThe higher incidence of carcinoma out of teratoma and serous tumors may be related to the intense alteration of mechanical features of the cellular and the ECM, serving as a potential risk factor which necessitates further investigation.
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